Onterris, Inc (ONT) Fair Value & Analysis
Industrials · US · Market cap $621M
Fair value as of: Jun 25, 2026
Analysis
Onterris, Inc (ONT) currently trades at $16.80, while our model-based Fair Value estimate is $13.23 — implying the stock looks roughly 21.3% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Onterris, Inc. operates as an environmental services company in the United States, Australia, Canada, and internationally. It operates in three segments: Assessment, Permitting and Response; Measurement and Analysis; and Remediation and Reuse. The company offers scientific advisory and consulting services to support environmental assessments, environmental emergency response and recovery, toxicology consulting and environmental audits and permits for current operations, facility upgrades, new projects, decommissioning projects and development projects. It also provides environmental testing and laboratory services, including source and ambient air testing and monitoring, leak detection, and advanced multi-media laboratory services, including air, soil, stormwater, wastewater and drinking water analysis; and engineering, design, and implementation services comprising treatment technologies which treat contaminated water or soil remediation. The company serves oil and gas, utilities, …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.